Triple

T10510218
Position Surface form Disambiguated ID Type / Status
Subject Dong Khoi Street E247891 entity
Predicate near P350 FINISHED
Object Saigon River E41500 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Saigon River | Statement: [Dong Khoi Street, near, Saigon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saigon River
Context triple: [Dong Khoi Street, near, Saigon River]
  • A. Saigon River chosen
    The Saigon River is a major waterway in southern Vietnam that flows through Ho Chi Minh City and serves as an important route for transport, trade, and urban life.
  • B. Tam Diep
    Tam Diep is a town in northern Vietnam known for its location in Ninh Binh Province and its role as a local administrative and commercial center.
  • C. Lan River
    The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
  • D. Dong Nai River
    The Đồng Nai River is a major river in southern Vietnam that flows through several provinces and plays a crucial role in the region’s ecology, agriculture, and hydropower production.
  • E. Tra Ly River
    The Tra Ly River is a significant waterway in northern Vietnam that flows through Thai Binh Province, supporting local agriculture, transportation, and livelihoods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b542088190868531f84deaf9e4 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b3d6f6c81908d8247da9d9caab2 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:27 p.m.